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https://issues.apache.org/jira/browse/SPARK-5114?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-5114:
---------------------------------
Summary: Should Evaluator be a PipelineStage (was: Should Evaluator by a
PipelineStage)
> Should Evaluator be a PipelineStage
> -----------------------------------
>
> Key: SPARK-5114
> URL: https://issues.apache.org/jira/browse/SPARK-5114
> Project: Spark
> Issue Type: Question
> Components: ML
> Affects Versions: 1.2.0
> Reporter: Joseph K. Bradley
>
> Pipelines can currently contain Estimators and Transformers.
> Question for debate: Should Pipelines be able to contain Evaluators?
> Pros:
> * Evaluators take input datasets with particular schema, which should perhaps
> be checked before running a Pipeline.
> Cons:
> * Evaluators do not transform datasets. They produce a scalar (or a few
> values), which makes it hard to say how they fit into a Pipeline or a
> PipelineModel.
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